#include <boost/math/special_functions.hpp>
#include "lapacke.h"
#include "dg/algorithm.h"
#include "functors.h"
Go to the source code of this file.
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namespace | dg |
| Classes for Krylov space approximations of a Matrix-Vector product.
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namespace | dg::mat |
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template<class value_type > |
value_type | dg::mat::compute_Tinv_m1 (const dg::TriDiagonal< thrust::host_vector< value_type > > &T, unsigned size) |
| Computes the value of \( (T^{-1})_{m1} = \langle \vec e_m, T^{-1}\vec e_1\rangle\) via a Thomas algorithm.
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template<class value_type > |
void | dg::mat::compute_Tinv_y (const dg::TriDiagonal< thrust::host_vector< value_type > > &T, thrust::host_vector< value_type > &x, const thrust::host_vector< value_type > &y, value_type a=1., value_type d=0.) |
| Computes the value of \( x = ((aT+dI)^{-1})y \) via Thomas algorithm.
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template<class value_type > |
void | dg::mat::invert (const dg::TriDiagonal< thrust::host_vector< value_type > > &T, dg::SquareMatrix< value_type > &Tinv) |
| Invert a tridiagonal matrix.
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template<class value_type > |
dg::SquareMatrix< value_type > | dg::mat::invert (const dg::TriDiagonal< thrust::host_vector< value_type > > &T) |
| Invert a tridiagonal matrix.
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template<class value_type > |
std::array< value_type, 2 > | dg::mat::compute_extreme_EV (const dg::TriDiagonal< thrust::host_vector< value_type > > &T) |
| Compute extreme Eigenvalues of a symmetric tridiangular matrix.
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